Kyocera Corporation (KYOCF) Fair Value & Analysis
Industrials · US · Market cap $31.0B
Analysis
Kyocera Corporation (KYOCF) currently trades at $21.00, while our model-based Fair Value estimate is $11.35 — implying the stock looks roughly 46.0% overvalued today. We read business quality at 96/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Kyocera Corporation develops and sells products based on fine ceramic technologies in Japan, China, rest of Asia, Europe, the United States, and internationally. It operates through Core Components Business, Electronic Components Business, and Solutions Business segments. The Core Components Business segment offers components, such as fine ceramic components for semiconductor processing equipment, automotive camera modules, and ceramic packages, as well as organic packages and boards to protect electronic components and ICs to semiconductor, industrial machinery, automotive, and information and communication-related markets; optical components; jewelry and applied ceramic related products; and medical devices comprising prosthetic joints and dental implants. The Electronic Components Business segment provides sensors and control components; and various electronic components and devices, including capacitors, crystal devices, connectors, and power semiconductor devices for diverse fi…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.